Manager - Data Science, RISK

Key Skills

Java Programming, Python Programming, Database, SQL, AWS, Machine learning techniques, Data science techniques, Conda, R Programming, SPARK Programming, Large scale data processing

Job Description

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

Team Description

In Capital One’s Model Risk Office, we defend the company against model failures and find new ways of making better decisions with models. We use our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise. We understand that we can’t prepare for tomorrow by focusing on today, so we invest in the future: investing in new skills, building better tools, and maintaining a network of trusted partners. We learn from past mistakes, and develop increasingly powerful techniques to avoid their repetition.

Role Description

In this role, you will:

• Partner with a cross-functional team of data scientists, software engineers, and product managers to manage the risk and uncertainty inherent in statistical models in order to lead Capital One to the best decisions, not just avoid the worst ones.
• Leverage a broad stack of technologies — Python, R, Conda, AWS, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
• Build and validate machine learning models through all phases of development, from design through training, evaluation, and implementation
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals, and challenge model developers to advance their modeling, data, and analytic capabilities

?The Ideal Candidate is:

• You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
• A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.
• You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
• Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.

Basic Qualifications:

• At least a Master’s Degree and a minimum of 2 years’ experience OR a Bachelor’s Degree and a minimum of 6 years of experience
• At least 2 years’ experience in open source programming languages for large scale data analysis
• At least 2 years’ experience with machine learning
• At least 2 years’ experience with relational databases
• At least 2 years’ experience with SQL

Preferred Qualifications:

• PhD
• 3+ years’ experience in open source programming languages for large scale data analysis
• 3+ years’ experience with machine learning
• 3+ years’ experience with relational databases
• 3+ years’ experience with SQL
• Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

No Agencies please.

Capital One is an equal opportunity employer committed to diversity in the workplace. Capital One promotes a drug-free workplace.

All qualified applicants will receive consideration for employment without regard to gender, race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status protected by applicable national, federal, state or local law.

Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; Newark, New Jersey Ordinance 12-1630; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.